多目标遗传算法设计具有成本效益的波长路由光网络

2007 9th International Conference on Transparent Optical Networks Pub Date : 2007-07-01 DOI:10.1109/ICTON.2007.4296350

R. Durán, I. de Miguel, N. Merayo, P. Fernández, J. Aguado, R. Lorenzo, E. Abril

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引用次数: 11

摘要

提出了一种新的GAPDELT算法，用于联合设计波长路由光网络的资源分配和逻辑拓扑。GAPDELT基于遗传算法，并使用Pareto最优来减少网络拥塞和资源使用数量。通过仿真研究，我们表明GAPDELT设计了一套良好的替代方案，与另一种众所周知的方案相比，该方案在拥塞方面减少了50%，所需的发射器和接收器数量减少了75%

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Multiobjective Genetic Algorithm to Design Cost-Efficient Wavelength-Routed Optical Networks

A new algorithm, GAPDELT, is presented to jointly design the resource provisioning and the logical topology of wavelength-routed optical networks. GAPDELT is based on genetic algorithms and uses Pareto optimality to reduce both the network congestion and the number of resources employed. By means of a simulation study, we show that GAPDELT designs a set of good alternatives that achieve up to 50% of reduction in terms of congestion or 75% of reduction in the number of transmitters and receivers required when compared with another well-known

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2007 9th International Conference on Transparent Optical Networks

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